2020

A. van der Grinten and H. Meyerhenke
Scaling Betweenness Approximation to Billions of Edges by MPI-based Adaptive Sampling
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), New Orleans, LA, USA, May 18-22, 2020, IEEE, 2020
DOI, RIS, BibTex

E. Angriman, M. Predari, A. van der Grinten, and H. Meyerhenke
Approximation of the Diagonal of a Laplacian's Pseudoinverse for Complex Network Analysis
28th Annual European Symposium on Algorithms, ESA 2020, September 7-9, 2020, Pisa, Italy (Virtual Conference), Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020
DOI, RIS, BibTex

A. van der Grinten, E. Angriman, and H. Meyerhenke
Scaling up network centrality computations - A brief overview
it Inf. Technol., 62(34), 2020
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C. Tzovas, M. Predari, and H. Meyerhenke
Distributing Sparse Matrix/Graph Applications in Heterogeneous Clusters - an Experimental Study
27th {IEEE} International Conference on High Performance Computing, Data, and Analytics, HiPC 2020, Pune, India, December 16-19, 2020, IEEE, 2020
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E. Angriman, A. van der Grinten, A. Bojchevski, D. Zügner, S. Günnemann, and H. Meyerhenke
Group Centrality Maximization for Large-scale Graphs
Proceedings of the Symposium on Algorithm Engineering and Experiments, ALENEX 2020, Salt Lake City, UT, USA, January 5-6, 2020, SIAM, 2020
DOI, RIS, BibTex

M. F. Faraj, A. van der Grinten, H. Meyerhenke, J. L. Träff, and C. Schulz
High-Quality Hierarchical Process Mapping
CoRR, 200107134, 2020
arXiv eprint, RIS, BibTex

M. Simsek and H. Meyerhenke
Combined Centrality Measures for an Improved Characterization of Influence Spreadin Social Networks
CoRR, 200305254, 2020
arXiv eprint, RIS, BibTex